A cost-effective and robust mapping method for diverse crop types using weakly supervised semantic segmentation with sparse point samples
Zhiwen Cai, Baodong Xu, Qiangyi Yu, Xinyu Zhang, Jingya Yang, Haodong Wei, Shiqi Li, Qian Song, Hang Xiong, Hao Wu, Wenbin Wu, Zhihua Shi, Qiong Hu
Topics & Concepts
SegmentationComputer sciencePoint (geometry)Artificial intelligencePattern recognition (psychology)Data miningMathematicsGeometryRemote Sensing in AgricultureRemote Sensing and LiDAR ApplicationsSmart Agriculture and AI